AIMC Topic: Female

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MEFFNet: Forecasting Myoelectric Indices of Muscle Fatigue in Healthy and Post-Stroke During Voluntary and FES-Induced Dynamic Contractions.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jul 26, 2024
Myoelectric indices forecasting is important for muscle fatigue monitoring in wearable technologies, adaptive control of assistive devices like exoskeletons and prostheses, functional electrical stimulation (FES)-based Neuroprostheses, and more. Non-...
Algorithms Muscle Contraction Forecasting Muscle Fatigue Female Elbow Electric Stimulation Therapy Adult Aged Stroke Rehabilitation Elbow Joint Young Adult Humans Male Electromyography Neural Networks, Computer Middle Aged Stroke Deep Learning Healthy Volunteers Muscle, Skeletal
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Reduced response to regadenoson with increased weight: An artificial intelligence-based quantitative myocardial perfusion study.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jul 25, 2024
BACKGROUND: There is conflicting evidence regarding the response to a fixed dose of regadenoson in patients with high body weight. The aim of this study was to evaluate the effectiveness of regadenoson in patients with varying body weights using nove...
Logistic Models Obesity Myocardial Perfusion Imaging Predictive Value of Tests Image Interpretation, Computer-Assisted Humans Adenosine Coronary Artery Disease Pyrazoles Artificial Intelligence Adenosine A2 Receptor Agonists Body Weight Vasodilator Agents Risk Factors Algorithms Purines Female Coronary Circulation Aged Male Middle Aged Case-Control Studies
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Impact of Downsampling Size and Interpretation Methods on Diagnostic Accuracy in Deep Learning Model for Breast Cancer Using Digital Breast Tomosynthesis Images.

The Tohoku journal of experimental medicine Jul 25, 2024
While deep learning (DL) models have shown promise in breast cancer diagnosis using digital breast tomosynthesis (DBT) images, the impact of varying matrix sizes and image interpolation methods on diagnostic accuracy remains unclear. Understanding th...
Humans Breast Neoplasms Middle Aged Deep Learning Image Processing, Computer-Assisted Mammography Retrospective Studies Female Aged Aged, 80 and over Adult
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Enabling AI-Generated Content for Gadolinium-Free Contrast-Enhanced Breast Magnetic Resonance Imaging.

Journal of magnetic resonance imaging : JMRI Jul 25, 2024
BACKGROUND: There is increasing interest in utilizing AI-generated content for gadolinium-free contrast-enhanced breast MRI.
Middle Aged Imaging, Three-Dimensional Image Processing, Computer-Assisted Contrast Media Magnetic Resonance Imaging Reproducibility of Results Aged Adult Sensitivity and Specificity Breast Neoplasms Breast Image Interpretation, Computer-Assisted Gadolinium Image Enhancement Diffusion Magnetic Resonance Imaging Humans Artificial Intelligence Algorithms Retrospective Studies Female
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Deep Learning Model Using Stool Pictures for Predicting Endoscopic Mucosal Inflammation in Patients With Ulcerative Colitis.

The American journal of gastroenterology Jul 25, 2024
INTRODUCTION: Stool characteristics may change depending on the endoscopic activity of ulcerative colitis (UC). We developed a deep learning model using stool photographs of patients with UC (DLSUC) to predict endoscopic mucosal inflammation.
Intestinal Mucosa Humans Predictive Value of Tests Prospective Studies Leukocyte L1 Antigen Complex Female Photography Aged Severity of Illness Index Adult Deep Learning Male Feces Middle Aged ROC Curve Colonoscopy Colitis, Ulcerative
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Identification of and as novel diagnostic biomarkers for latent tuberculosis infection using machine learning strategies and experimental verification.

Annals of medicine Jul 25, 2024
BACKGROUND: Current diagnostic methods cannot effectively distinguish between latent tuberculosis infection (LTBI) and active tuberculosis (ATB). This study aims to explore novel non-invasive diagnostic biomarkers for LTBI and to elucidate possible m...
Latent Tuberculosis Adult Humans Male Machine Learning Gene Expression Profiling Biomarkers ROC Curve Female
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Machine learning models including preoperative and postoperative albumin-bilirubin score: short-term outcomes among patients with hepatocellular carcinoma.

HPB : the official journal of the International Hepato Pancreato Biliary Association Jul 25, 2024
BACKGROUND: We sought to assess the impact of various perioperative factors on the risk of severe complications and post-surgical mortality using a novel maching learning technique.
Aged Male Middle Aged Risk Assessment Postoperative Complications Time Factors Hospital Mortality Liver Neoplasms Carcinoma, Hepatocellular Treatment Outcome Machine Learning Databases, Factual Retrospective Studies Female Risk Factors Humans Predictive Value of Tests Bilirubin Hepatectomy Serum Albumin, Human Serum Albumin
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Integrating multi-task and cost-sensitive learning for predicting mortality risk of chronic diseases in the elderly using real-world data.

International journal of medical informatics Jul 25, 2024
BACKGROUND AND OBJECTIVE: Real-world data encompass population diversity, enabling insights into chronic disease mortality risk among the elderly. Deep learning excels on large datasets, offering promise for real-world data. However, current models f...
Male Humans Risk Assessment Chronic Disease Neural Networks, Computer Comorbidity Female Deep Learning Aged China Aged, 80 and over
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Influence of believed AI involvement on the perception of digital medical advice.

Nature medicine Jul 25, 2024
Large language models offer novel opportunities to seek digital medical advice. While previous research primarily addressed the performance of such artificial intelligence (AI)-based tools, public perception of these advancements received little atte...
Adult Male Middle Aged Adolescent Perception Humans Artificial Intelligence Female Young Adult
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Comparison of Explainable Artificial Intelligence Model and Radiologist Review Performances to Detect Breast Cancer in 752 Patients.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Jul 25, 2024
OBJECTIVES: Breast cancer is a type of cancer caused by the uncontrolled growth of cells in the breast tissue. In a few cases, erroneous diagnosis of breast cancer by specialists and unnecessary biopsies can lead to various negative consequences. In ...
Humans Artificial Intelligence Female Reproducibility of Results Aged Breast Middle Aged Image Interpretation, Computer-Assisted Adolescent Diagnosis, Differential Radiologists Aged, 80 and over Ultrasonography, Mammary Young Adult Adult Sensitivity and Specificity Breast Neoplasms
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